2026-09-18T20:52:03Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1232022026-06-06T01:03:06Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Li, Stephen,
M. Eng.
Massachusetts Institute of Technology.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2019-12-05T18:10:23Z
2019-12-05T18:10:23Z
2019
2019
https://hdl.handle.net/1721.1/123202
1129252378
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: M. Eng. in Computer Science and Engineering, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (page 53).
Early detection of neurodegenerative diseases can lead to slower disease progression, as well as possible symptom reduction. Existing research has studied how cognitively impaired subjects solve tests such as the clock-drawing test and the Digital Symbol-Digit Test differently compared to healthy subjects. While subjects in previous work used a digitized pen in solving the Digital Symbol-Digit test, our research focuses on having the subjects wear eye-tracking glasses as well. These glasses bring a significant improvement in mobility over computer-mounted or headframe eye trackers, but also may come with its reliability issues. After these issues are solved, the gaze data provided brings a wealth of information on learning rate and clues to what the subject is thinking.
by Stephen Li.
M.Eng. in Computer Science and Engineering
M. Eng. in Computer Science and Engineering Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
53 pages
eng
Massachusetts Institute of Technology
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Eye tracking for cognition
Thesis
application/pdf
2023-03-08T20:25:31Z
Publication
unknown
unknown
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<Abstract>Early detection of neurodegenerative diseases can lead to slower disease progression, as well as possible symptom reduction. Existing research has studied how cognitively impaired subjects solve tests such as the clock-drawing test and the Digital Symbol-Digit Test differently compared to healthy subjects. While subjects in previous work used a digitized pen in solving the Digital Symbol-Digit test, our research focuses on having the subjects wear eye-tracking glasses as well. These glasses bring a significant improvement in mobility over computer-mounted or headframe eye trackers, but also may come with its reliability issues. After these issues are solved, the gaze data provided brings a wealth of information on learning rate and clues to what the subject is thinking.</Abstract>
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